def build_pooling(self, layer):
from snntoolbox.simulation.utils import build_pooling
delay = self.config.getfloat('cell', 'delay')
self._conns = build_pooling(layer, delay)
self.connections.append(self.sim.Projection(
self.layers[-2], self.layers[-1],
self.sim.FromListConnector(self._conns, ['weight', 'delay'])))
def build_pooling(self, layer):
from snntoolbox.simulation.utils import build_pooling
delay = self.config.getfloat('cell', 'delay')
self._conns = build_pooling(layer, delay)
for conn in self._conns:
self.connections[-1].connect(i=conn[0], j=conn[1])
self.connections[-1].w = 1 / np.prod(layer.pool_size)
def build_pooling(self, layer, weights=None):
delay = self.config.getfloat('cell', 'delay')
connections = np.array(build_pooling(layer, delay))
self.connections[-1].connect(i=connections[:, 0].astype('int64'),
j=connections[:, 1].astype('int64'))
w = connections[:, 2] if weights is None else weights.flatten()
self.connections[-1].w = w
def build_pooling(self, layer, input_weight=None):
from snntoolbox.simulation.utils import build_pooling
delay = self.config.getfloat('cell', 'delay')
self._conns = build_pooling(layer, delay)
for conn in self._conns:
self.connections[-1].connect(i=conn[0], j=conn[1])
if input_weight is not None:
self.connections[-1].w = input_weight.flatten()
else:
self.connections[-1].w = 1 / np.prod(layer.pool_size)
def build_pooling(self, layer):
delay = self.config.getfloat('cell', 'delay')
weights = build_pooling(layer, delay)
weights = self.scale_weights(weights)
if self.config.getboolean('tools', 'simulate'):
self.connections.append(
self.sim.Projection(
self.layers[-2],
self.layers[-1],
self.sim.FromListConnector(weights, ['weight', 'delay']),
receptor_type='excitatory',
label=self.layers[-1].label + '_excitatory'))
else:
# The spinnaker implementation of Projection.save() is not working
# yet, so we do save the connections manually here.
filepath = os.path.join(self.config.get('paths', 'path_wd'),
self.layers[-1].label)
# noinspection PyTypeChecker
np.savetxt(filepath,
np.array(connections), ['%d', '%d', '%.18f', '%.3f'],
header="columns = ['i', 'j', 'weight', 'delay']")